150 search results - page 13 / 30 » Compressive sensing for sparsely excited speech signals |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
PAMI
2011
13 years 2 months ago
2011
—We show that, via temporal modulation, one can observe and capture a high-speed periodic video well beyond the abilities of a low-frame-rate camera. By strobing the exposure wit...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...